相關主題
商品描述
Musicians Coding AI for Themselves blends cutting edge academic research with the real-world experiences of musicians working the intersection of music and AI. This book not only reflects on the philosophical implications of AI in music but also offers readers insights into the technical inner workings of bespoke, artist-crafted AI systems.
The chapters are written by emerging and innovative coder-musicians who present their own artistic practice and research, with a focus on creative, ethical, collaborative, and educational uses of AI. Interviews with leading musicians who have incorporated AI into their work traverse diverse topics, from behind-the-scenes details of how each artist uses AI in their music to the greater conceptual impact of AI on the arts, the future of music technology, and the creative process.
This book will be of interest to practicing musicians who wish to synthesize the creative potential of AI in their music and understand its implications for the wider music community. It will also appeal to students of music composition, music studies, experimental music, music technology, and human-computer interaction.
商品描述(中文翻譯)
Musicians Coding AI for Themselves 結合了前沿學術研究，以及在音樂與 AI 交會領域工作的音樂家之實務經驗。本書不僅探討 AI 在音樂中的哲學意涵，也讓讀者深入了解由藝術家量身打造的客製化 AI 系統，其技術運作原理。
本書各章由嶄露頭角且具創新精神的程式設計師兼音樂家撰寫，介紹他們自身的藝術實踐與研究，並聚焦於 AI 在創意、倫理、協作與教育方面的應用。書中也收錄與領先音樂家的訪談，探討多元主題：從每位藝術家如何在音樂創作中運用 AI 的幕後細節，到 AI 對藝術整體所帶來的概念性影響、音樂科技的未來，以及創作過程。
本書適合希望將 AI 的創意潛力融入音樂創作，並了解其對更廣泛音樂社群所具意涵的音樂工作者閱讀。此外，本書也適合音樂作曲、音樂研究、實驗音樂、音樂科技，以及人機互動等領域的學生。
作者簡介
Constantin Basica, DMA, is a Romanian composer whose work focuses on symbiotic interrelations between music, video, and performers. His music has been presented internationally by distinguished artists at events such as MATA Festival, Ars Electronica Festival (Bucharest Garden), World New Music Days, George Enescu Festival, and the International Computer Music Conference. He earned his doctorate in composition and completed postdoctoral training at Stanford University. In recent years, he has collaborated with researchers on developing AI tools for co-creativity that explore "translations" between media. Basica is a lecturer in music at Stanford's Center for Computer Research in Music and Acoustics (CCRMA).
Julie Zhu, DMA, is a composer, artist, and carillonist. Her work stands interstitial to instrumental music, electronics, and performance within settings ranging from chamber music stagings to museum sound installations to experimental film scores. Concision and poetry characterize her music, with commissions from Radio France, Dark Music Days Reykjavík, GMEM Marseille, GRAME Lyon, and Chamber Music America. Her research on music and AI focuses on the project Deep Drawing, which tests a machine's ability to bring the intricate noises of drawing and writing to visual life. Zhu is an assistant professor of performing arts technology at the University of Michigan.
作者簡介(中文翻譯)
Constantin Basica，DMA，是一位羅馬尼亞作曲家，其作品著重於音樂、影像與表演者之間的共生互動。他的音樂曾由傑出藝術家於國際間演出，並登上 MATA Festival、Ars Electronica Festival（Bucharest Garden）、World New Music Days、George Enescu Festival，以及 International Computer Music Conference 等活動。他於 Stanford University 取得作曲博士學位，並完成博士後研究。近年來，他與研究人員合作開發共創（co-creativity）AI 工具，探索不同媒介之間的「轉譯」。Basica 現任教於 Stanford's Center for Computer Research in Music and Acoustics（CCRMA）。
Julie Zhu，DMA，是一位作曲家、藝術家與鐘琴演奏家。她的作品介於器樂音樂、電子音樂與表演之間，呈現形式涵蓋室內樂舞台演出、博物館聲音裝置，以及實驗電影配樂。簡潔與詩意是她音樂作品的特色；她曾受 Radio France、Dark Music Days Reykjavík、GMEM Marseille、GRAME Lyon 及 Chamber Music America 委託創作。她對音樂與 AI 的研究聚焦於 Deep Drawing 計畫，該計畫測試機器將繪畫與書寫的細緻聲響轉化為視覺呈現的能力。Zhu 現任 University of Michigan 表演藝術科技助理教授。
